Leseprobe
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QlikView Your Business
Oleg Troyansky, Tammy Gibson, Charlie Leichtweis, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
Step-by-step guide to using QlikView and Qlik Sense to unlock the meaning in your data QlikView Your Business shows you how to build dynamic, best-of-breed data visualizations using the QlikView toolset. This full-color, step-by-step guide walks you through the basics of using the tools, then dives deep to provide expert advice on complex implementation techniques and solutions. Coverage includes both QlikView and Qlik Sense, with a focus on the process of developing analytic applications, with scripting and visualization techniques for analyzing sales, profitability, and inventory. You will learn how to analyze your data, determine the appropriate solution, define the data model, and develop the load script and user interface for a complete analytic solution implemented in QlikView, Qlik Sense, or both. The companion website provides sample data sets, scripts, and visualizations that support chapter examples. Data visualization helps unlock the stories within the data, making it easier to see and make sense of complex data points. Many visualization tools are complex and require advanced training, but QlikView's toolset was specifically designed for speed and ease of use. This book gets you up and running quickly, using QlikView and Qlik Sense to deliver timely and relevant results. * Develop solutions to analyze sales, profitability, and inventory * Understand the business scenarios relevant to each solution * Understand best practices for data modeling * Learn advanced techniques in data aggregation and chart development This book goes beyond the basics to illustrate little-known features and techniques for getting the most out of the toolset, supporting the needs of the business analysts who use it, as well as the developers who support it. QlikView Your Business is your essential guide to better data analysis.
Kundenbewertungen
Statistics, Data Analysis, Statistik, Datenanalyse